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Prediction of Serious Adverse Events from Nighttime Vital Signs Values. / Mayer, Leon; Rasmussen, Søren M.; Mølgaard, Jesper; Gu, Ying; Aasvang, Eske K.; Mcyhoff, Christian S.; Sørensen, Helge B.D.
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE, 2022. s. 2631-2634 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Bind 2022-July).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Mayer, L, Rasmussen, SM, Mølgaard, J, Gu, Y
, Aasvang, EK, Mcyhoff, CS & Sørensen, HBD 2022,
Prediction of Serious Adverse Events from Nighttime Vital Signs Values. i
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, bind 2022-July, s. 2631-2634, 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, Glasgow, Storbritannien,
11/07/2022.
https://doi.org/10.1109/EMBC48229.2022.9871778APA
Mayer, L., Rasmussen, S. M., Mølgaard, J., Gu, Y.
, Aasvang, E. K., Mcyhoff, C. S., & Sørensen, H. B. D. (2022).
Prediction of Serious Adverse Events from Nighttime Vital Signs Values. I
44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 (s. 2631-2634). IEEE. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS Bind 2022-July
https://doi.org/10.1109/EMBC48229.2022.9871778Vancouver
Mayer L, Rasmussen SM, Mølgaard J, Gu Y
, Aasvang EK, Mcyhoff CS o.a.
Prediction of Serious Adverse Events from Nighttime Vital Signs Values. I 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE. 2022. s. 2631-2634. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Bind 2022-July).
https://doi.org/10.1109/EMBC48229.2022.9871778Author
Mayer, Leon ; Rasmussen, Søren M. ; Mølgaard, Jesper ; Gu, Ying ; Aasvang, Eske K. ; Mcyhoff, Christian S. ; Sørensen, Helge B.D. / Prediction of Serious Adverse Events from Nighttime Vital Signs Values. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022. IEEE, 2022. s. 2631-2634 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Bind 2022-July).
Bibtex
@inproceedings{c245c57e989045048c476f1239bd6c35,
title = "Prediction of Serious Adverse Events from Nighttime Vital Signs Values",
abstract = "The period directly following surgery is critical for patients as they are at risk of infections and other types of complications, often summarized as severe adverse events (SAE). We hypothesize that impending complications might alter the circadian rhythm and, therefore, be detectable during the night before. We propose a SMOTE-enhanced XGBoost prediction model that classifies nighttime vital signs depending on whether they precede a serious adverse event or come from a patient that does not have a complication at all, based on data from 450 postoperative patients. The approach showed respectable results, producing a ROC-AUC score of 0.65 and an accuracy of 0.75. These findings demonstrate the need for further investigation.",
author = "Leon Mayer and Rasmussen, {S{\o}ren M.} and Jesper M{\o}lgaard and Ying Gu and Aasvang, {Eske K.} and Mcyhoff, {Christian S.} and S{\o}rensen, {Helge B.D.}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022 ; Conference date: 11-07-2022 Through 15-07-2022",
year = "2022",
doi = "10.1109/EMBC48229.2022.9871778",
language = "English",
series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",
publisher = "IEEE",
pages = "2631--2634",
booktitle = "44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022",
}
RIS
TY - GEN
T1 - Prediction of Serious Adverse Events from Nighttime Vital Signs Values
AU - Mayer, Leon
AU - Rasmussen, Søren M.
AU - Mølgaard, Jesper
AU - Gu, Ying
AU - Aasvang, Eske K.
AU - Mcyhoff, Christian S.
AU - Sørensen, Helge B.D.
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The period directly following surgery is critical for patients as they are at risk of infections and other types of complications, often summarized as severe adverse events (SAE). We hypothesize that impending complications might alter the circadian rhythm and, therefore, be detectable during the night before. We propose a SMOTE-enhanced XGBoost prediction model that classifies nighttime vital signs depending on whether they precede a serious adverse event or come from a patient that does not have a complication at all, based on data from 450 postoperative patients. The approach showed respectable results, producing a ROC-AUC score of 0.65 and an accuracy of 0.75. These findings demonstrate the need for further investigation.
AB - The period directly following surgery is critical for patients as they are at risk of infections and other types of complications, often summarized as severe adverse events (SAE). We hypothesize that impending complications might alter the circadian rhythm and, therefore, be detectable during the night before. We propose a SMOTE-enhanced XGBoost prediction model that classifies nighttime vital signs depending on whether they precede a serious adverse event or come from a patient that does not have a complication at all, based on data from 450 postoperative patients. The approach showed respectable results, producing a ROC-AUC score of 0.65 and an accuracy of 0.75. These findings demonstrate the need for further investigation.
U2 - 10.1109/EMBC48229.2022.9871778
DO - 10.1109/EMBC48229.2022.9871778
M3 - Article in proceedings
C2 - 36086507
AN - SCOPUS:85138128378
T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
SP - 2631
EP - 2634
BT - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
PB - IEEE
T2 - 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022
Y2 - 11 July 2022 through 15 July 2022
ER -
